Advancing the application of the analytical renal pathology system in allograft IgA nephropathy patients-Reference-Cited by-同舟云学术

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Advancing the application of the analytical renal pathology system in allograft IgA nephropathy patients

Published:2024-02-29 Issue:1 Volume:46 Page:
ISSN:0886-022X
Container-title:Renal Failure
language:en
Short-container-title:Renal Failure

Author:

Liu Xumeng¹,Fang Huiwen¹,Liang Dongmei¹,Lei Qunjuan¹,Wang Jiaping²,Xu Feng¹,Liang Shaoshan¹,Liang Dandan¹,Yang Fan¹,Li Heng³,Chen Jianghua³,Ni Yuan²,Xie Guotong²,Zeng Caihong¹^ORCID

Affiliation:

1. National Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China

2. Ping An Healthcare Technology, Shanghai, China

3. Kidney Disease Center, First Affiliated Hospital, College of Medicine, Zhejiang University, Zhejiang, China

Funder

National Natural Science Foundation of China

Medical Scientific Research Project of Jiangsu Provincial Health Commission

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/0886022X.2024.2322043

Reference51 articles.

1. Deep learning

2. Artificial Intelligence in Nephrology: How Can Artificial Intelligence Augment Nephrologists’ Intelligence?

3. Artificial intelligence and machine learning trends in kidney care

4. Promises of Big Data and Artificial Intelligence in Nephrology and Transplantation

5. Region-Based Convolutional Neural Nets for Localization of Glomeruli in Trichrome-Stained Whole Kidney Sections

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